Security Scan Report: venturebeat.com

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Submitted: Oct 11, 2025, 6:17:51 AMCompleted: Oct 11, 2025, 6:18:32 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is venturebeat.com and was registered NaN years ago.

Submitted URL: https://venturebeat.com/ai/heres-what-jony-ive-and-sam-altman-revealed-about-their-secretive-ai

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site; no security concerns detected.

Safety Factors
Established domain with long registration age
No malicious Indicators of Compromise
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

Vercel Security Checkpoint

Scan Type

public

Language

🇺🇸

English

(60% confidence)

Category

documentation technical

(47%)

Domain Information

The domain name 'venturebeat.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The core label 'venturebeat' covers 11 characters holding 5 vowels versus six consonants. Segmentation suggests 2 words: venture, beat. Median word length is 5.5 characters. 'venture' is most common in English usage. It also appears in Chinese (Pinyin) and Indonesian contexts.

Screenshot

Security scan screenshot of https://venturebeat.com/ai/heres-what-jony-ive-and-sam-altman-revealed-about-their-secretive-ai

Page Load Overview

13.66s
Total Load Time
3
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:60%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:60%
Script Type:Latin
HTML Lang Attribute:en
Text Length:285 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical47% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
47%
technology software
44%
news media journalism
35%
cryptocurrency blockchain
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.150.1.1United States
AS16509AMAZON-02
31--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T184E2E680D70CFC617242498E60FF1C291214F9A2750ADAA9FF91DEF6FAA98C05417F5E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ctGS7WZTzapwp54zRyN2C9y97Jd545xDc2Rl9Q5A91vV1dHAPo:ctGzZTzYwp54kN2C9y/d545xg2R0ADvf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:32819:hlckwBYRgNMSJaAQKQqgGmRWBJZcbKIEwLkCyPBQgsGPEECAMDIIeL0iALCAQAUaQBEGQn9rYA2tiMAuIwABJEpACZM0QBQI

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:ffffffe7e7ffffe3
Perceptual Hash:e699cc9966934c99
Difference Hash:0000000c08000004
Wavelet Hash:3c3c3c242c3c3c00
Color Hash:#9e6ce0

Other Hashes

Crop Resistant:0000000c08000004

Scan History

Scan history not available

Unable to load historical scan data